A workflow harness that helps AI coding agents plan, review, test, and ship safer code.
中文优先的 Vibe Coding / AI coding engineering workflow guide: specs, agents, worktrees, skills, CI, and review.
A structured enforcement system for AI-generated code. Turns predictable AI failure modes into architectural gates, static analysis halts, and runtime proof requirements. Preserves engineering intent AI assists, humans decide.
AI-native engineering workflow skills for Claude and Codex — repo-backed PRD-to-code orchestration, milestone delivery, and validation.
Публичный пакет инженерных skills для Codex
Autonomous software delivery with AI agents — your BACKLOG runs itself, guided by encoded engineering discipline. No sprints, no hand-holding.
GitHub Copilot chat modes for planning, implementation, code review, PRDs, and prompt optimization.
A mental framework for cutting through complexity. Establish baseline, isolate what matters, execute one change.
Think before you build. Universal AI engineering orchestration framework for Claude, Codex, Cursor, and Windsurf.
Tool to simplify the C++ development
A practical operating model for AI-assisted software engineering using tools like Cursor, Claude and structured development workflows.
Loop Engineering workflow skill for Codex
AI-native engineering workflow system focused on bounded engineering cognition for real-world software development.
Codex skill for cross-session engineering workflow, handoffs, acceptance, and repo coordination.
Engineering agent workflow pack: 92 Hermes skills, 10 profiles, evidence-gated execution
Manus Project OS. Structured framework for building large software systems with AI-assisted engineering.
A skill for AI agents that turns repos, requirements, and design state into durable, evidence-backed context — so multi-agent collaboration stops drifting.
Streamline your software delivery with a production-ready engineering workflow. Automated semantic versioning, changelog generation (via git-cliff), and aggregated release publishing across GitHub and major package registries.
Composable 5-phase workflow for SREs and platform engineers: problem clarification → solution architecture → scope decomposition → task breakdown → Jira import. Structured interview loops, tradeoff analysis, monitoring strategy, ADRs, and engineer-first task cards.
Agent-facing loop engineering state kernel CLI.
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